ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k10_task1_organization

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4003
  • Qwk: 0.4882
  • Mse: 1.4003
  • Rmse: 1.1834

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.0417 2 6.9691 0.0118 6.9691 2.6399
No log 0.0833 4 4.7166 0.0887 4.7166 2.1718
No log 0.125 6 4.2660 -0.0597 4.2660 2.0654
No log 0.1667 8 3.3424 -0.0538 3.3424 1.8282
No log 0.2083 10 2.1979 0.1765 2.1979 1.4825
No log 0.25 12 2.1162 0.3239 2.1162 1.4547
No log 0.2917 14 2.5619 0.0843 2.5619 1.6006
No log 0.3333 16 2.3594 0.2000 2.3594 1.5360
No log 0.375 18 1.7652 0.3465 1.7652 1.3286
No log 0.4167 20 1.5131 0.1964 1.5131 1.2301
No log 0.4583 22 1.5268 0.1869 1.5268 1.2357
No log 0.5 24 1.4518 0.1714 1.4518 1.2049
No log 0.5417 26 1.4525 0.2342 1.4525 1.2052
No log 0.5833 28 1.6752 0.3306 1.6752 1.2943
No log 0.625 30 2.1671 0.1408 2.1671 1.4721
No log 0.6667 32 2.4334 0.1169 2.4334 1.5599
No log 0.7083 34 2.2710 0.0699 2.2710 1.5070
No log 0.75 36 2.0185 0.2667 2.0185 1.4207
No log 0.7917 38 1.6041 0.3548 1.6041 1.2665
No log 0.8333 40 1.3925 0.1651 1.3925 1.1800
No log 0.875 42 1.6218 0.1770 1.6218 1.2735
No log 0.9167 44 1.6845 0.1622 1.6845 1.2979
No log 0.9583 46 1.5062 0.1651 1.5062 1.2273
No log 1.0 48 1.5744 0.2564 1.5744 1.2548
No log 1.0417 50 1.8271 0.2969 1.8271 1.3517
No log 1.0833 52 1.8929 0.2424 1.8929 1.3758
No log 1.125 54 1.7985 0.3281 1.7985 1.3411
No log 1.1667 56 1.4376 0.3934 1.4376 1.1990
No log 1.2083 58 1.4336 0.3906 1.4336 1.1973
No log 1.25 60 1.5509 0.4062 1.5509 1.2454
No log 1.2917 62 1.2760 0.4741 1.2760 1.1296
No log 1.3333 64 1.1897 0.5882 1.1897 1.0907
No log 1.375 66 1.1405 0.5693 1.1405 1.0679
No log 1.4167 68 1.1483 0.5693 1.1483 1.0716
No log 1.4583 70 1.2973 0.4853 1.2973 1.1390
No log 1.5 72 1.5987 0.4 1.5987 1.2644
No log 1.5417 74 1.6588 0.2880 1.6588 1.2879
No log 1.5833 76 1.3063 0.5191 1.3063 1.1429
No log 1.625 78 1.2473 0.5303 1.2473 1.1168
No log 1.6667 80 1.6860 0.2295 1.6860 1.2985
No log 1.7083 82 1.8137 0.2353 1.8137 1.3467
No log 1.75 84 1.8581 0.1565 1.8581 1.3631
No log 1.7917 86 1.8760 0.1197 1.8760 1.3697
No log 1.8333 88 1.4133 0.3902 1.4133 1.1888
No log 1.875 90 1.1489 0.5455 1.1489 1.0719
No log 1.9167 92 1.1717 0.5271 1.1717 1.0824
No log 1.9583 94 1.4351 0.4308 1.4351 1.1979
No log 2.0 96 1.5421 0.4211 1.5421 1.2418
No log 2.0417 98 1.4281 0.4662 1.4281 1.1950
No log 2.0833 100 1.1822 0.5865 1.1822 1.0873
No log 2.125 102 1.0755 0.5496 1.0755 1.0371
No log 2.1667 104 1.0437 0.5714 1.0437 1.0216
No log 2.2083 106 1.2306 0.5152 1.2306 1.1093
No log 2.25 108 1.3848 0.4559 1.3848 1.1768
No log 2.2917 110 1.2874 0.5263 1.2874 1.1346
No log 2.3333 112 1.1478 0.5758 1.1478 1.0714
No log 2.375 114 1.1359 0.5758 1.1359 1.0658
No log 2.4167 116 1.2230 0.5802 1.2230 1.1059
No log 2.4583 118 1.3219 0.5414 1.3219 1.1497
No log 2.5 120 1.4452 0.4444 1.4452 1.2022
No log 2.5417 122 1.4621 0.4706 1.4621 1.2092
No log 2.5833 124 1.4749 0.4818 1.4749 1.2145
No log 2.625 126 1.3696 0.5588 1.3696 1.1703
No log 2.6667 128 1.3340 0.5714 1.3340 1.1550
No log 2.7083 130 1.5716 0.4308 1.5716 1.2536
No log 2.75 132 1.7743 0.2308 1.7743 1.3320
No log 2.7917 134 1.5307 0.5156 1.5307 1.2372
No log 2.8333 136 1.2289 0.5714 1.2289 1.1085
No log 2.875 138 1.2198 0.5669 1.2198 1.1045
No log 2.9167 140 1.4440 0.4462 1.4440 1.2017
No log 2.9583 142 2.0176 0.1667 2.0176 1.4204
No log 3.0 144 2.4031 0.0444 2.4031 1.5502
No log 3.0417 146 2.0562 0.1912 2.0562 1.4339
No log 3.0833 148 1.5655 0.4812 1.5655 1.2512
No log 3.125 150 1.1911 0.5669 1.1911 1.0914
No log 3.1667 152 1.1390 0.56 1.1390 1.0672
No log 3.2083 154 1.2698 0.4603 1.2698 1.1268
No log 3.25 156 1.5627 0.3333 1.5627 1.2501
No log 3.2917 158 1.9499 0.1692 1.9499 1.3964
No log 3.3333 160 1.8884 0.2154 1.8884 1.3742
No log 3.375 162 1.5101 0.4361 1.5101 1.2289
No log 3.4167 164 1.3224 0.5758 1.3224 1.1499
No log 3.4583 166 1.3327 0.5496 1.3327 1.1544
No log 3.5 168 1.5558 0.3852 1.5558 1.2473
No log 3.5417 170 1.7371 0.2985 1.7371 1.3180
No log 3.5833 172 1.6971 0.2901 1.6971 1.3027
No log 3.625 174 1.7847 0.1705 1.7847 1.3359
No log 3.6667 176 1.5217 0.3333 1.5217 1.2336
No log 3.7083 178 1.6875 0.3016 1.6875 1.2991
No log 3.75 180 1.6114 0.3040 1.6114 1.2694
No log 3.7917 182 1.5417 0.3040 1.5417 1.2416
No log 3.8333 184 1.4407 0.4603 1.4407 1.2003
No log 3.875 186 1.3216 0.4882 1.3216 1.1496
No log 3.9167 188 1.2912 0.5156 1.2912 1.1363
No log 3.9583 190 1.2848 0.5426 1.2848 1.1335
No log 4.0 192 1.2092 0.544 1.2092 1.0996
No log 4.0417 194 1.2387 0.5397 1.2387 1.1130
No log 4.0833 196 1.2444 0.5512 1.2444 1.1155
No log 4.125 198 1.2298 0.4237 1.2298 1.1090
No log 4.1667 200 1.2879 0.4138 1.2879 1.1349
No log 4.2083 202 1.4377 0.4531 1.4377 1.1991
No log 4.25 204 1.6129 0.3969 1.6129 1.2700
No log 4.2917 206 1.4395 0.4806 1.4395 1.1998
No log 4.3333 208 1.2473 0.5041 1.2473 1.1168
No log 4.375 210 1.2504 0.4628 1.2504 1.1182
No log 4.4167 212 1.3608 0.4426 1.3608 1.1665
No log 4.4583 214 1.4803 0.4651 1.4803 1.2167
No log 4.5 216 1.4111 0.4724 1.4111 1.1879
No log 4.5417 218 1.3177 0.4839 1.3177 1.1479
No log 4.5833 220 1.3113 0.4715 1.3113 1.1451
No log 4.625 222 1.4070 0.4194 1.4070 1.1862
No log 4.6667 224 1.5921 0.3817 1.5921 1.2618
No log 4.7083 226 1.7919 0.3259 1.7919 1.3386
No log 4.75 228 1.7405 0.3433 1.7405 1.3193
No log 4.7917 230 1.5280 0.4341 1.5280 1.2361
No log 4.8333 232 1.2723 0.4754 1.2723 1.1279
No log 4.875 234 1.1032 0.4538 1.1032 1.0503
No log 4.9167 236 1.0767 0.5484 1.0767 1.0376
No log 4.9583 238 1.2417 0.5156 1.2417 1.1143
No log 5.0 240 1.7112 0.3459 1.7112 1.3081
No log 5.0417 242 1.9030 0.2556 1.9030 1.3795
No log 5.0833 244 1.5739 0.4122 1.5739 1.2545
No log 5.125 246 1.2706 0.4878 1.2706 1.1272
No log 5.1667 248 1.2571 0.4237 1.2571 1.1212
No log 5.2083 250 1.2708 0.4237 1.2708 1.1273
No log 5.25 252 1.3485 0.4444 1.3485 1.1612
No log 5.2917 254 1.7179 0.3284 1.7179 1.3107
No log 5.3333 256 1.9231 0.2302 1.9231 1.3867
No log 5.375 258 1.7024 0.3650 1.7024 1.3047
No log 5.4167 260 1.3026 0.4567 1.3026 1.1413
No log 5.4583 262 1.2445 0.4640 1.2445 1.1156
No log 5.5 264 1.3558 0.4444 1.3558 1.1644
No log 5.5417 266 1.5903 0.4308 1.5903 1.2611
No log 5.5833 268 1.7558 0.3609 1.7558 1.3251
No log 5.625 270 1.6782 0.3788 1.6782 1.2954
No log 5.6667 272 1.4166 0.4286 1.4166 1.1902
No log 5.7083 274 1.3219 0.4444 1.3219 1.1497
No log 5.75 276 1.3980 0.4567 1.3980 1.1824
No log 5.7917 278 1.5453 0.4242 1.5453 1.2431
No log 5.8333 280 1.7129 0.3459 1.7129 1.3088
No log 5.875 282 1.7531 0.3407 1.7531 1.3241
No log 5.9167 284 1.5902 0.3485 1.5902 1.2610
No log 5.9583 286 1.3561 0.4590 1.3561 1.1645
No log 6.0 288 1.2316 0.4706 1.2316 1.1098
No log 6.0417 290 1.1886 0.5246 1.1886 1.0902
No log 6.0833 292 1.1952 0.4706 1.1952 1.0932
No log 6.125 294 1.2824 0.4715 1.2824 1.1324
No log 6.1667 296 1.4705 0.4724 1.4705 1.2126
No log 6.2083 298 1.5713 0.3788 1.5713 1.2535
No log 6.25 300 1.5463 0.4308 1.5463 1.2435
No log 6.2917 302 1.4086 0.4590 1.4086 1.1868
No log 6.3333 304 1.3580 0.3966 1.3580 1.1653
No log 6.375 306 1.3846 0.2407 1.3846 1.1767
No log 6.4167 308 1.3360 0.2883 1.3360 1.1559
No log 6.4583 310 1.2904 0.5082 1.2904 1.1359
No log 6.5 312 1.5587 0.3594 1.5587 1.2485
No log 6.5417 314 1.8340 0.2595 1.8340 1.3542
No log 6.5833 316 2.0447 0.1212 2.0447 1.4299
No log 6.625 318 1.6431 0.4060 1.6431 1.2819
No log 6.6667 320 1.4331 0.4662 1.4331 1.1971
No log 6.7083 322 1.2737 0.5426 1.2737 1.1286
No log 6.75 324 1.2463 0.5 1.2463 1.1164
No log 6.7917 326 1.2579 0.4878 1.2579 1.1216
No log 6.8333 328 1.3323 0.5079 1.3323 1.1543
No log 6.875 330 1.5491 0.4122 1.5491 1.2446
No log 6.9167 332 1.6463 0.3759 1.6463 1.2831
No log 6.9583 334 1.5967 0.3759 1.5967 1.2636
No log 7.0 336 1.4841 0.4688 1.4841 1.2182
No log 7.0417 338 1.5082 0.4688 1.5082 1.2281
No log 7.0833 340 1.5438 0.4031 1.5438 1.2425
No log 7.125 342 1.4447 0.4839 1.4447 1.2019
No log 7.1667 344 1.3256 0.4202 1.3256 1.1514
No log 7.2083 346 1.3075 0.3214 1.3075 1.1434
No log 7.25 348 1.2689 0.4538 1.2689 1.1264
No log 7.2917 350 1.2657 0.4793 1.2657 1.1250
No log 7.3333 352 1.3712 0.5039 1.3712 1.1710
No log 7.375 354 1.4504 0.4651 1.4504 1.2043
No log 7.4167 356 1.3520 0.4844 1.3520 1.1627
No log 7.4583 358 1.2397 0.5 1.2397 1.1134
No log 7.5 360 1.2252 0.4035 1.2252 1.1069
No log 7.5417 362 1.1708 0.4035 1.1708 1.0820
No log 7.5833 364 1.0961 0.5528 1.0961 1.0470
No log 7.625 366 1.1747 0.5397 1.1747 1.0838
No log 7.6667 368 1.3846 0.5116 1.3846 1.1767
No log 7.7083 370 1.5669 0.4580 1.5669 1.2517
No log 7.75 372 1.3935 0.4806 1.3935 1.1805
No log 7.7917 374 1.2194 0.4762 1.2194 1.1043
No log 7.8333 376 1.1674 0.5039 1.1674 1.0805
No log 7.875 378 1.2319 0.4762 1.2319 1.1099
No log 7.9167 380 1.2561 0.4762 1.2561 1.1208
No log 7.9583 382 1.2415 0.4762 1.2415 1.1142
No log 8.0 384 1.2945 0.4724 1.2945 1.1378
No log 8.0417 386 1.2764 0.4724 1.2764 1.1298
No log 8.0833 388 1.2281 0.4724 1.2281 1.1082
No log 8.125 390 1.3321 0.4923 1.3321 1.1542
No log 8.1667 392 1.6137 0.3731 1.6137 1.2703
No log 8.2083 394 1.9858 0.2222 1.9858 1.4092
No log 8.25 396 1.9204 0.2222 1.9204 1.3858
No log 8.2917 398 1.5276 0.4545 1.5276 1.2360
No log 8.3333 400 1.2088 0.4762 1.2088 1.0995
No log 8.375 402 1.0850 0.5760 1.0850 1.0416
No log 8.4167 404 1.0809 0.5082 1.0809 1.0397
No log 8.4583 406 1.1037 0.5760 1.1037 1.0506
No log 8.5 408 1.2448 0.4882 1.2448 1.1157
No log 8.5417 410 1.4878 0.4545 1.4878 1.2198
No log 8.5833 412 1.5341 0.4545 1.5341 1.2386
No log 8.625 414 1.3674 0.4923 1.3674 1.1694
No log 8.6667 416 1.0722 0.6 1.0722 1.0355
No log 8.7083 418 0.9886 0.6142 0.9886 0.9943
No log 8.75 420 1.0269 0.5891 1.0269 1.0134
No log 8.7917 422 1.1611 0.5802 1.1611 1.0776
No log 8.8333 424 1.3420 0.5116 1.3420 1.1584
No log 8.875 426 1.4116 0.4806 1.4116 1.1881
No log 8.9167 428 1.4672 0.4697 1.4672 1.2113
No log 8.9583 430 1.3659 0.4923 1.3659 1.1687
No log 9.0 432 1.2210 0.5156 1.2210 1.1050
No log 9.0417 434 1.1429 0.5271 1.1429 1.0691
No log 9.0833 436 1.1822 0.5156 1.1822 1.0873
No log 9.125 438 1.2648 0.5231 1.2648 1.1246
No log 9.1667 440 1.3042 0.4961 1.3042 1.1420
No log 9.2083 442 1.3247 0.4882 1.3247 1.1509
No log 9.25 444 1.3111 0.4762 1.3111 1.1451
No log 9.2917 446 1.3433 0.4882 1.3433 1.1590
No log 9.3333 448 1.3928 0.4844 1.3928 1.1802
No log 9.375 450 1.3705 0.4882 1.3705 1.1707
No log 9.4167 452 1.2863 0.4762 1.2863 1.1341
No log 9.4583 454 1.1770 0.512 1.1770 1.0849
No log 9.5 456 1.1342 0.5366 1.1342 1.0650
No log 9.5417 458 1.1880 0.496 1.1880 1.0899
No log 9.5833 460 1.3675 0.4844 1.3675 1.1694
No log 9.625 462 1.6796 0.3582 1.6796 1.2960
No log 9.6667 464 1.8367 0.3066 1.8367 1.3552
No log 9.7083 466 1.7589 0.3382 1.7589 1.3262
No log 9.75 468 1.5319 0.4308 1.5319 1.2377
No log 9.7917 470 1.2482 0.5079 1.2482 1.1172
No log 9.8333 472 1.1411 0.5323 1.1411 1.0682
No log 9.875 474 1.1567 0.4833 1.1567 1.0755
No log 9.9167 476 1.1774 0.5323 1.1774 1.0851
No log 9.9583 478 1.2343 0.5323 1.2343 1.1110
No log 10.0 480 1.2612 0.5079 1.2612 1.1230
No log 10.0417 482 1.2634 0.5354 1.2634 1.1240
No log 10.0833 484 1.2009 0.5354 1.2009 1.0958
No log 10.125 486 1.2541 0.5079 1.2541 1.1199
No log 10.1667 488 1.2695 0.5079 1.2695 1.1267
No log 10.2083 490 1.2342 0.512 1.2342 1.1110
No log 10.25 492 1.1706 0.56 1.1706 1.0819
No log 10.2917 494 1.1717 0.5354 1.1717 1.0824
No log 10.3333 496 1.2252 0.5271 1.2252 1.1069
No log 10.375 498 1.1536 0.5846 1.1536 1.0740
0.3916 10.4167 500 1.1699 0.5846 1.1699 1.0816
0.3916 10.4583 502 1.1233 0.6047 1.1233 1.0599
0.3916 10.5 504 1.1236 0.5827 1.1236 1.0600
0.3916 10.5417 506 1.2401 0.5846 1.2401 1.1136
0.3916 10.5833 508 1.4027 0.5156 1.4027 1.1843
0.3916 10.625 510 1.4736 0.4219 1.4736 1.2139
0.3916 10.6667 512 1.4003 0.4882 1.4003 1.1834

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
-
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k10_task1_organization

Finetuned
(4019)
this model